Learning objective
Interpret a RICE score alongside uncertainty, dependencies and non-negotiable constraints.
Why it matters
The loudest sponsor wins the roadmap because benefits and effort are not compared consistently.
Core concept
Set a shared time window and units, estimate reach × impact × confidence ÷ effort, then examine the sensitivity of the ranking and apply safety and equity constraints outside the score.
Scenario
A public health product team must choose between a wide-reaching reminder feature and a smaller accessibility repair needed by high-risk patients.
Worked decision
Calculate RICE consistently, then apply the accessibility obligation as a constraint; document why a lower-scoring repair can still take priority.
Decision rule
Vary weak estimates, record overrides and set a review trigger.
Ethical boundary
Treating a precise score as objective truth or letting a small population's rights disappear in an average.
AI lens
Use AI to organize evidence, then verify its source and keep decision authority with people.
Quick check
What would invalidate the first proposed action? Treating a precise score as objective truth or letting a small population's rights disappear in an average.
Next step
Complete the RICE Prioritization case.